Implement, configure and evolve SaaS data products within client environments, taking solutions from initial onboarding through to long‑term adoption and optimisation
Own the technical delivery of SaaS implementations, ensuring products are robustly integrated into client data platforms, workflows and operating models
Work on long‑running client engagements, developing a deep understanding of client needs and acting as a trusted technical partner over time
Design and implement integration patterns, data pipelines and solution architectures that enable SaaS products to scale effectively for each client
Deliver high‑quality, production‑ready solutions, balancing product constraints with client‑specific requirements and best practice engineering standards
Collaborate closely with product, engineering and client stakeholders to influence roadmaps, enhancements and implementation approaches
Provide technical leadership and mentoring to junior team members, including guidance on SaaS delivery patterns, integration approaches and good engineering practices
Contribute to and help shape our learning & development ecosystem, sharing implementation learnings, patterns and reusable assets across teams
Identify and recommend improvements to product usage, configuration or architecture based on real‑world client exposure
Produce clean, maintainable and well‑documented solutions aligned to product standards and client specifications
Continue to build your own capability through hands‑on delivery, certification and exposure to multiple clients and industries
Requirements
Experience and skills required:
Minimum 3+ years Python experience in Data Science and Engineering
Experience with Kubernetes, Apache Airflow, Pandas, Polars
In-depth of knowledge across data science and engineering and software delivery
Development and delivery experience of data-driven applications and solutions
Capable of task estimation, proactive and autonomous
Solid knowledge of SDLC, agile and appropriate tooling
Breadth of L3 support experience
Excellent communication skills across peers, leadership and clients; both business and technical
Benefits
Flexible working - we offer hybrid working so our people can achieve that elusive work/life balance.Healthcare cover - provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your healthRegular social events, prizes and giveaways - our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togethernessA little background on DISimply put - we turn big data problems into smart data solutionsAt our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare.This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.Fair employment and equal opportunitiesData Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.Welcome to Data Intellect.#ChallengeAcceptedHealth insuranceFlexible schedule
Dataintellect · New York, NY